Evidence map›Paper›PMID 37566382›Full record

ArticleEnvironmental science & technology letters2022

Development and Application of a Polydimethylsiloxane-Based Passive Air Sampler to Assess Personal Exposure to SARS-CoV-2.

Darryl M Angel, Dong Gao, Kayley DeLay, Elizabeth Z Lin, Jacob Eldred, Wyatt Arnold, Romero Santiago, Carrie Redlich, Richard A Martinello, Jodi D Sherman and 2 more

Open access · hybridAbstract read
In one paragraph

Article in Environmental science & technology letters, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
4.3field-weighted citation impact, top 5% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed, 30 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors at 1 institution in 1 country.

Darryl M AngelDepartment of Chemical and Environmental Engineering, Yale School of Engineering and Applied Science, Yale University, New Haven, Connecticut 06520, United States.
Dong GaoDepartment of Environmental Health Sciences, Yale School of Public Health, New Haven, Connecticut 06520, United States.
Kayley DeLayDepartment of Chemical and Environmental Engineering, Yale School of Engineering and Applied Science, Yale University, New Haven, Connecticut 06520, United States.
Elizabeth Z LinDepartment of Environmental Health Sciences, Yale School of Public Health, New Haven, Connecticut 06520, United States.
Jacob EldredDepartment of Mechanical Engineering and Materials Science, Yale School of Engineering and Applied Science, Yale University, New Haven, Connecticut 06511, United States.
Wyatt ArnoldDepartment of Chemical and Environmental Engineering, Yale School of Engineering and Applied Science, Yale University, New Haven, Connecticut 06520, United States.
Romero SantiagoDepartment of Internal Medicine, Yale School of Medicine, New Haven, Connecticut 06510, United States.
Carrie RedlichDepartment of Internal Medicine, Yale School of Medicine, New Haven, Connecticut 06510, United States.
Richard A MartinelloDepartment of Internal Medicine, Yale School of Medicine, New Haven, Connecticut 06510, United States.
Jodi D ShermanDepartment of Environmental Health Sciences, Yale School of Public Health, New Haven, Connecticut 06520, United States.
Jordan PecciaDepartment of Chemical and Environmental Engineering, Yale School of Engineering and Applied Science, Yale University, New Haven, Connecticut 06520, United States.ORCID https://orcid.org/0000-0002-6482-2084
Krystal J Godri PollittDepartment of Chemical and Environmental Engineering, Yale School of Engineering and Applied Science, Yale University, New Haven, Connecticut 06520, United States.ORCID https://orcid.org/0000-0001-7332-2228
Yale University · US

Funding

NIOSH CDC HHS T03 OH008607
6 · The paper itself

Abstract

Exhaled respiratory droplets and aerosols can carry infectious viruses and are an important mode of transmission for COVID-19. Recent studies have been successful in detecting airborne SARS-CoV-2 RNA in indoor settings using active sampling methods. The cost, size, and maintenance of these samplers, however, limit their long-term monitoring ability in high-risk transmission areas. As an alternative, passive samplers can be small, lightweight, and inexpensive and do not require electrical power or maintenance for continual operation. Integration of passive samplers into wearable designs can be used to better understand personal exposure to the respiratory virus. This study evaluated the use of a polydimethylsiloxane (PDMS)-based passive sampler to assess personal exposure to aerosol and droplet SARS-CoV-2. The rate of uptake of virus-laden aerosol on PDMS was determined in lab-based rotating drum experiments to estimate time-weighted averaged airborne viral concentrations from passive sampler viral loading. The passive sampler was then embedded in a wearable clip design and distributed to community members across Connecticut to surveil personal SARS-CoV-2 exposure. The virus was detected on clips worn by five of the 62 participants (8%) with personal exposure ranging from 4 to 112 copies of SARS-CoV-2 RNA/m

Identifiers

PMID37566382
PMCPMC11783850
OpenAlexW4205959990

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.